- Developed and maintained production-grade iOS (Swift), Android (Kotlin), and Flutter (Dart) applications
serving healthcare, hyperlocal delivery, logistics, and e-commerce platforms.
- Designed and implemented scalable features using Clean Architecture, MVVM, BLoC, Riverpod, Kotlin
Coroutines/Flow, and Combine, ensuring modular, maintainable, and testable codebases.
- Improved app performance and stability by optimizing widget rebuilds, reducing UI jank, and refining
memory/battery usage in location-heavy features, achieving 30-40% faster load times and maintaining a
~99% crash-free rate through Crashlytics-driven monitoring.
- Built real-time logistics capabilities including Google Maps integration, live location tracking, geofencing,
background synchronization, route management, and live order tracking — with optimizations for battery
efficiency and reliability in low-connectivity conditions.
- Integrated Apple HealthKit and Health Connect through Flutter platform channels to collect and synchronize
steps, heart rate, SpO₂, HRV, and sleep metrics from smartphones and wearable devices.
- Developed secure payment workflows using Cashfree, supporting order creation, payment verification,
webhook handling, and transaction lifecycle management.
- Designed and integrated RESTful APIs using FastAPI and PostgreSQL, enabling secure and efficient
communication between mobile applications and backend services.
- Integrated Firebase Authentication, Firestore, Realtime Database, Cloud Messaging, Analytics, and
Crashlytics to support authentication, real-time data synchronization, push notifications, analytics, and
production monitoring.
- Implemented GDPR and DPDP compliance features including consent management, privacy controls,
secure data handling, and user data deletion workflows.
- Automated mobile release workflows using Fastlane and CI/CD pipelines for App Store and Google Play
deployments, cutting release time by 30-40% and reducing manual release effort.
- Collaborated closely with Product, Design, Backend, and QA teams, participating in architecture discussions,
code reviews, sprint planning, and technical decision-making.
- Utilized Cursor AI, Claude Code, and AI-assisted development workflows to accelerate feature delivery,
debugging, code refactoring, and engineering productivity.
- Company industry:
- Software Development
- Job role:
-
Information Technology